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Article overview
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Statistical methods of automatic spectral classification and their application to the Hamburg/ESO Survey | Norbert Christlieb
; Lutz Wisotzki
; Gerd Grasshoff
; | Date: |
5 Jun 2002 | Subject: | astro-ph | Affiliation: | Hamburger Sternwarte, Germany), Lutz Wisotzki (Institut fuer Physik, Universitaet Potsdam, Germany), Gerd Grasshoff (Institut fuer Philosophie der Universitaet Bern, Switzerland | Abstract: | We employ classical statistical methods of multivariate classification for the exploitation of the stellar content of the Hamburg/ESO objective prism survey (HES). In a simulation study we investigate the precision of a three-dimensional classification (Teff, log g, [Fe/H]) achievable in the HES for stars in the effective temperature range 520010 (typically corresponding to B_J<16.5). The accuracies in log g and [Fe/H] are better than 0.68dex in the same S/N range. These precisions allow for a very efficient selection of metal-poor stars in the HES. We present a minimum cost rule for compilation of complete samples of objects of a given class, and a rejection rule for identification of corrupted or peculiar spectra. The algorithms we present are being used for the identification of other interesting objects in the HES data base as well, and they are applicable to other existing and future large data sets, such as those to be compiled by the DIVA and GAIA missions. | Source: | arXiv, astro-ph/0206085 | Services: | Forum | Review | PDF | Favorites |
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